TY - GEN
T1 - A new method for SAR radio frequency interference mitigation based on maximum a posterior estimation
AU - Guo, Yong Qiang
AU - Zhou, Feng
AU - Tao, Mingliang
AU - Sheng, Ming
N1 - Publisher Copyright:
© 2017 URSI.
PY - 2017/11/10
Y1 - 2017/11/10
N2 - Hazardous to synthetic aperture radar (SAR), the radio frequency interference (RFI) significantly degrades the SAR imaging quality and prevents accurate image interpretation. In recent years, RFI mitigation has received intensive attention in the active microwave remote sensing community. Making use of the statistical distribution of RFI and SAR echoes, this paper proposes a new method for RFI suppression based on the maximum a posterior (MAP) estimation. After careful modeling of sparse prior and data likelihood, the method performs Bayesian inference of the posterior and estimates the model parameters by MAP. Then, it reconstructs RFI and subtracts it from the raw data. Finally, it obtains well-focused SAR image using the state-of-the-art imaging techniques. The effectiveness of the method has been validated using measured SAR data.
AB - Hazardous to synthetic aperture radar (SAR), the radio frequency interference (RFI) significantly degrades the SAR imaging quality and prevents accurate image interpretation. In recent years, RFI mitigation has received intensive attention in the active microwave remote sensing community. Making use of the statistical distribution of RFI and SAR echoes, this paper proposes a new method for RFI suppression based on the maximum a posterior (MAP) estimation. After careful modeling of sparse prior and data likelihood, the method performs Bayesian inference of the posterior and estimates the model parameters by MAP. Then, it reconstructs RFI and subtracts it from the raw data. Finally, it obtains well-focused SAR image using the state-of-the-art imaging techniques. The effectiveness of the method has been validated using measured SAR data.
UR - https://www.scopus.com/pages/publications/85046116104
U2 - 10.23919/URSIGASS.2017.8104495
DO - 10.23919/URSIGASS.2017.8104495
M3 - 会议稿件
AN - SCOPUS:85046116104
T3 - 2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017
SP - 1
EP - 4
BT - 2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017
Y2 - 19 August 2017 through 26 August 2017
ER -